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Re: [igraph] Choosing between different methods of detecting communities

From: Tamás Nepusz
Subject: Re: [igraph] Choosing between different methods of detecting communities
Date: Wed, 26 Sep 2012 14:48:11 +0200

> The papers look interesting. Has anyone implemented any of the methods 
> into igraph (or any other library for that matter)?

I'm not aware of any such implementation but there was a thread on this mailing 
list some time earlier where I proposed a relatively simple method to assess 
the significance of a particular community. Given that you work in R, you 
should have all the necessary statistical tools (e.g., the Mann-Whitney U test) 
to implement it:

> Chen -- do you mean edge.betweenness.community()?
> I tried it but then R hangs (haven't tried letting run for a few hours 
> though).

edge.betweenness.community() is slow so it isn't really useful for graphs that 
contain more than a few hundred vertices -- unless you have a day to spare or 
so :) I would probably try multilevel.community() and/or infomap.community(). 
There is a recent review of community detection algorithms that you might be 
interested in:



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